cs.RO(2025-03-15)

📊 共 9 篇论文 | 🔗 1 篇有代码

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支柱一:机器人控制 (Robot Control) (5) 支柱二:RL算法与架构 (RL & Architecture) (2 🔗1) 支柱八:物理动画 (Physics-based Animation) (1) 支柱九:具身大模型 (Embodied Foundation Models) (1)

🔬 支柱一:机器人控制 (Robot Control) (5 篇)

#题目一句话要点标签🔗
1 MUSE: A Real-Time Multi-Sensor State Estimator for Quadruped Robots MUSE:四足机器人实时多传感器融合状态估计器,提升复杂地形导航性能 quadruped locomotion Unitree
2 Diffusion Dynamics Models with Generative State Estimation for Cloth Manipulation 提出基于扩散模型的生成式状态估计方法,用于提升布料操作的感知和动力学建模能力。 manipulation model predictive control
3 Hierarchical Reinforcement Learning for Safe Mapless Navigation with Congestion Estimation 提出基于分层强化学习的安全无图导航框架,解决局部极小值问题。 motion planning reinforcement learning
4 Train Robots in a JIF: Joint Inverse and Forward Dynamics with Human and Robot Demonstrations 提出基于人类和机器人演示的联合逆向与正向动力学方法,提升机器人操作技能学习效率。 manipulation latent dynamics
5 SharedAssembly: A Data Collection Approach via Shared Tele-Assembly 提出SharedAssembly,一种基于共享遥操作的装配数据高效采集方法 teleoperation

🔬 支柱二:RL算法与架构 (RL & Architecture) (2 篇)

#题目一句话要点标签🔗
6 ICCO: Learning an Instruction-conditioned Coordinator for Language-guided Task-aligned Multi-robot Control 提出ICCO框架,解决语言引导下多机器人任务对齐控制中的协调问题 reinforcement learning large language model instruction following
7 RISE: Robust Imitation through Stochastic Encoding 提出RISE框架以解决机器人模仿学习中的安全性问题 policy learning imitation learning behavior cloning

🔬 支柱八:物理动画 (Physics-based Animation) (1 篇)

#题目一句话要点标签🔗
8 Multimodal Sensing and Machine Learning to Compare Printed and Verbal Assembly Instructions Delivered by a Social Robot 利用多模态感知与机器学习比较社交机器人提供的印刷版和口头装配指导 PULSE multimodal

🔬 支柱九:具身大模型 (Embodied Foundation Models) (1 篇)

#题目一句话要点标签🔗
9 Maritime Mission Planning for Unmanned Surface Vessel using Large Language Model 提出基于大语言模型的无人艇任务规划框架,提升动态环境适应性。 large language model

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